Fraud Operations Manager, Consumer Technology

Suno•New York, NY

3d•$155,000 - $175,000•Onsite

About The Position

You will be building Suno's payment integrity function. You'll own fraud operations end-to-end: detection logic, dispute strategy, tooling, and the analytical framework that tells us what's actually happening across our payment and subscription surface. You'll have executive visibility, a clear mandate, and the ability to shape the program from scratch. Suno's fraud landscape is specific to what we are — a consumer AI music platform with subscription billing across web, iOS, and Android. Building detection logic calibrated to Suno requires both analytical rigor and product intuition. Here's a song we made about it: https://suno.com/s/uAs9evWVQGCZ2zCx

Requirements

5+ years in fraud analysis, risk operations, or trust & safety at a consumer company, including at least one role where you owned a fraud program rather than just contributed to one
Management experience in leading or growing a payment-integrity focused team or program in a previous role.
Hands-on Stripe Radar experience or deep familiarity with a comparable rule-based fraud decisioning platform
SQL and data fluency — you write queries yourself to investigate anomalies, build monitoring, and pull the data you need without waiting for someone else
Depth in the payment dispute lifecycle — chargeback mechanics, representment strategy, win rate optimization, and how platforms differ (Stripe vs. Apple vs. Google)
Track record of building detection logic that measurably reduced fraud rates — not just reporting on them after the fact
Comfort with ambiguity at 0→1 — you've built programs from scratch, not just maintained what existed

Nice To Haves

experience at a subscription business
familiarity with ML-based fraud models or working with data science to productionize fraud signals
background in AI or consumer creator platforms

Responsibilities

Build Suno's fraud detection framework from zero — Payment platform fraud rulesets, internal behavioral signals, and the operational processes that connect detection to action
Investigate fraud patterns across payment disputes, account abuse, and trial fraud — triage by impact, identify clusters, and propose remediation
Define Suno-specific fraud vectors (carding attacks, chargeback abuse, trial-to-fraud pipelines, account sharing at scale) and build detection logic for each
Shape the dispute response process — representment strategy, resolution, win rate tracking
Partner with Engineering and Data to define fraud signal requirements and validate that production rules match your detection intent — you'll co-develop the business logic
Build and maintain fraud KPI dashboards (dispute rate, fraud rate, false positive rate, program ROI) for weekly monitoring and exec reporting
Write the internal fraud operations playbooks — escalation paths, account action policies, appeals handling, and how Support interfaces with the fraud function
Work cross-functionally — you'll be well-supported by and sit at the nexus of data science, product, engineering, finance, and support teams.
Scale the team — as payment integrity grows in complexity, you would be in a position to help us hire and expand the team if / when necessary